This work describes the approach proposed by the RECOD team for the Placing Task of MediaEval 2014. This task requires the definition of automatic schemes to assign geographical locations to images and videos. Our approach is based on the use of as much evidences as possible (textual, visual, and/or audio descriptors) to geocode a given image/video. We estimate the location of test items by clu...

This paper presents the results of the first participation of our multi-institutional team in the Retrieving Diverse Social Images Task at MediaEval 2014. In this task we were required to develop a summarization and diversification approach for social photo retrieval. Our approach is based on irrelevant image filtering, image re-ranking, and diversity promotion by clustering. We have used visua...

Background work in various levels of speech coding is reviewed, including unconstrained coding and recognition-synthesis approaches that assume the signal is speech. A pilot project in HMM-TTS based speech coding is then described, in which a comparison with harmonic plus noise modelling is also done. Results of the demonstration project including samples of speech under various transmission si...

This paper describes the participation of the RECOD group on the ImageCLEF 2011 Medical Modality Classification sub-task. We present an approach based on genetic programming and kNN for image classification. In our approach the genetic programming is used for the learning of good functions for the combination of similarities obtained from a set of global descriptors for different visual evidenc...

This work is developed in the context of placing task at MediaEval 2011. It consists in automatically assigning geographical coordinates to a set of videos. Our group proposed an architecture design for the multimodal geocoding. In this paper, we focused on implementing a simple content-based approach, which is part of the proposed framework. The reported results show our strategy compared to t...